Biologically-Inspired Learning for Humanoid Robots
| Lecturer (assistant) | |
|---|---|
| Number | 0000002585 |
| Dates | See TUMonline |
- 26.04.2022 09:45-11:15 2026, Karlstraße-Seminarraum
- 28.04.2022 09:45-11:15 2001, Besprechungsraum
- 03.05.2022 09:45-11:15 2026, Karlstraße-Seminarraum
- 05.05.2022 09:45-11:15 2001, Besprechungsraum
- 10.05.2022 09:45-11:15 2026, Karlstraße-Seminarraum
- 12.05.2022 09:45-11:15 2001, Besprechungsraum
- 17.05.2022 09:45-11:15 2026, Karlstraße-Seminarraum
- 19.05.2022 09:45-11:15 2001, Besprechungsraum
- 31.05.2022 09:45-11:15 2026, Karlstraße-Seminarraum
- 02.06.2022 09:15-10:45 2026, Karlstraße-Seminarraum
- 02.06.2022 09:45-11:15 2001, Besprechungsraum
- 09.06.2022 09:45-11:15 2026, Karlstraße-Seminarraum
- 14.06.2022 09:45-11:15 2026, Karlstraße-Seminarraum
- 21.06.2022 09:45-11:15 2026, Karlstraße-Seminarraum
- 23.06.2022 09:45-11:15 2001, Besprechungsraum
- 28.06.2022 09:45-11:15 2026, Karlstraße-Seminarraum
- 30.06.2022 09:45-11:15 2001, Besprechungsraum
- 05.07.2022 09:45-11:15 2026, Karlstraße-Seminarraum
- 07.07.2022 09:45-11:15 2001, Besprechungsraum
- 12.07.2022 09:45-11:15 2026, Karlstraße-Seminarraum
- 14.07.2022 09:45-11:15 2001, Besprechungsraum
- 19.07.2022 09:45-11:15 2026, Karlstraße-Seminarraum
- 21.07.2022 09:45-11:15 2001, Besprechungsraum
- 26.07.2022 09:45-11:15 2026, Karlstraße-Seminarraum
- 28.07.2022 09:45-11:15 2001, Besprechungsraum
Objectives
"After this course, students are capable of:
- Using the robot operating system (ROS) with the NAO robot.
- Understand the main biological mechanisms responsible for learning.
- Implement and evaluate biologically-inspired algorithms for sensory-motor mappings and reinforcement learning."
- Using the robot operating system (ROS) with the NAO robot.
- Understand the main biological mechanisms responsible for learning.
- Implement and evaluate biologically-inspired algorithms for sensory-motor mappings and reinforcement learning."